{"id":"https://openalex.org/W2967468654","doi":"https://doi.org/10.1109/cec.2019.8789984","title":"Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution","display_name":"Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2967468654","doi":"https://doi.org/10.1109/cec.2019.8789984","mag":"2967468654"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2019.8789984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2019.8789984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100343450","display_name":"Ke Li","orcid":"https://orcid.org/0000-0001-7200-4244"},"institutions":[{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ke Li","raw_affiliation_strings":["Department of Computer Science, University of Exeter, Exeter, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Exeter, Exeter, UK","institution_ids":["https://openalex.org/I23923803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071113174","display_name":"Zilin Xiang","orcid":null},"institutions":[{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zilin Xiang","raw_affiliation_strings":["Department of Computer Science, University of Exeter, Exeter, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Exeter, Exeter, UK","institution_ids":["https://openalex.org/I23923803"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025285243","display_name":"Kay Chen Tan","orcid":"https://orcid.org/0000-0002-6802-2463"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kay Chen Tan","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong SAR, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100343450"],"corresponding_institution_ids":["https://openalex.org/I23923803"],"apc_list":null,"apc_paid":null,"fwci":2.35613969,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.88764735,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1988","last_page":"1995"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7094007134437561},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.5479391813278198},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5453842878341675},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.5096399784088135},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.47338834404945374},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.46772730350494385},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.46580249071121216},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4500211179256439},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43816179037094116},{"id":"https://openalex.org/keywords/performance-prediction","display_name":"Performance prediction","score":0.434736430644989},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43093276023864746},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.41089341044425964},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.41000333428382874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35827213525772095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18327906727790833},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.09921571612358093},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07380750775337219}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7094007134437561},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.5479391813278198},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5453842878341675},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.5096399784088135},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.47338834404945374},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.46772730350494385},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.46580249071121216},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4500211179256439},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43816179037094116},{"id":"https://openalex.org/C2777115002","wikidata":"https://www.wikidata.org/wiki/Q7168246","display_name":"Performance prediction","level":2,"score":0.434736430644989},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43093276023864746},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.41089341044425964},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.41000333428382874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35827213525772095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18327906727790833},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.09921571612358093},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07380750775337219},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec.2019.8789984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2019.8789984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},{"id":"pmh:oai:ore.exeter.ac.uk:10871/36496","is_oa":false,"landing_page_url":"http://hdl.handle.net/10871/36496","pdf_url":null,"source":{"id":"https://openalex.org/S4306401998","display_name":"Open Research Exeter (University of Exeter)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I23923803","host_organization_name":"University of Exeter","host_organization_lineage":["https://openalex.org/I23923803"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W60686164","https://openalex.org/W63608182","https://openalex.org/W1539741229","https://openalex.org/W1548010335","https://openalex.org/W1595159159","https://openalex.org/W2011174137","https://openalex.org/W2090136295","https://openalex.org/W2097998348","https://openalex.org/W2102539288","https://openalex.org/W2117643431","https://openalex.org/W2131241448","https://openalex.org/W2132181343","https://openalex.org/W2137340504","https://openalex.org/W2141119792","https://openalex.org/W2143668817","https://openalex.org/W2156194072","https://openalex.org/W2162145193","https://openalex.org/W2468065612","https://openalex.org/W2515885532","https://openalex.org/W2775233965","https://openalex.org/W2964281761","https://openalex.org/W4249753629","https://openalex.org/W6674385629","https://openalex.org/W6678911119","https://openalex.org/W6679381669"],"related_works":["https://openalex.org/W2995841625","https://openalex.org/W2609358488","https://openalex.org/W2036426366","https://openalex.org/W2786244421","https://openalex.org/W2773527693","https://openalex.org/W4319459161","https://openalex.org/W3033186920","https://openalex.org/W2796139399","https://openalex.org/W2370841265","https://openalex.org/W4321254730"],"abstract_inverted_index":{"This":[0],"is":[1,9],"the":[2,14],"author":[3],"accepted":[4],"manuscript.":[5],"The":[6],"final":[7],"version":[8],"available":[10],"from":[11],"IEEE":[12],"via":[13],"DOI":[15],"in":[16],"this":[17],"record.":[18]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":7}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}